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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-29 14:27:10</p>
            <p>spark.kmedoids.eval.synthetic.TestCase : -r Dropbox/eurecom-cluster/results/ -d gaussian_3_12_100000 -s 200000000 -s 400000000 -s 600000000 - -s 800000000 -s 100000000</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.synthetic.ClaransTest</li>
                                    <li>spark.kmedoids.eval.synthetic.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100157-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1136.829260989678</td>
                                                <td>20078</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1121.3694372101554</td>
                                                <td>21444</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1099.0022541310054</td>
                                                <td>20342</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1115.10725068899</td>
                                                <td>20360</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1103.0983315471947</td>
                                                <td>20885</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1125.132096468608</td>
                                                <td>20971</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1107.5155134727636</td>
                                                <td>21413</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1110.665063864826</td>
                                                <td>19983</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1111.3283401307663</td>
                                                <td>19449</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>6.0E8</td>
                                                    <td>1094.9764289605089</td>
                                                <td>20086</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1133.3223357458978</td>
                                                <td>20879</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1121.6354578506741</td>
                                                <td>19483</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1132.7604490425065</td>
                                                <td>19704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1123.5060996522545</td>
                                                <td>20100</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1146.7220932366533</td>
                                                <td>19936</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1137.1912393781154</td>
                                                <td>20906</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1129.9872093365716</td>
                                                <td>19495</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1117.6330752750064</td>
                                                <td>20148</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1140.292675817817</td>
                                                <td>20514</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>6.0E8</td>
                                                    <td>1140.895346198021</td>
                                                <td>19498</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1087.115814841914</td>
                                                <td>15895</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1094.9556166906966</td>
                                                <td>14826</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1095.3534929882585</td>
                                                <td>14941</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1094.8969777862712</td>
                                                <td>16032</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1111.2142960723656</td>
                                                <td>16771</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1094.208795725679</td>
                                                <td>16528</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1088.717644679422</td>
                                                <td>15462</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1125.5244015349485</td>
                                                <td>16238</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1098.7198017891922</td>
                                                <td>16163</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1102.9767438401502</td>
                                                <td>15059</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1048.8037661119165</td>
                                                <td>8431</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1047.0503893672703</td>
                                                <td>8428</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1039.8612087459048</td>
                                                <td>8342</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1066.5153269906389</td>
                                                <td>8473</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1081.1487873925632</td>
                                                <td>8518</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1046.4845221361304</td>
                                                <td>9341</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1080.4854234175336</td>
                                                <td>8270</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1042.3124324056685</td>
                                                <td>8223</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1048.4022665646207</td>
                                                <td>7760</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>1047.3603899206203</td>
                                                <td>8510</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1111.087374405299</td>
                                                <td>14903</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1091.15230116223</td>
                                                <td>15712</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1094.8514885864556</td>
                                                <td>14925</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1116.9101329825269</td>
                                                <td>14690</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1075.5216244443222</td>
                                                <td>15544</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1110.4027932345793</td>
                                                <td>15549</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1116.8575346283387</td>
                                                <td>15621</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1100.991174103249</td>
                                                <td>15359</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1119.6005431153299</td>
                                                <td>16042</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1129.6484724659274</td>
                                                <td>15837</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1064.965194876769</td>
                                                <td>8357</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1057.8387994897978</td>
                                                <td>8123</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1063.2355182033943</td>
                                                <td>8412</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>998.1976559965195</td>
                                                <td>7921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1079.1722714775813</td>
                                                <td>8029</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1009.9416696801294</td>
                                                <td>8548</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1063.6947962884744</td>
                                                <td>8112</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1041.4538102315114</td>
                                                <td>8333</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1016.0700231152423</td>
                                                <td>7940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>1047.9202861336523</td>
                                                <td>8314</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1103.581970383972</td>
                                                <td>20468</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1112.1813070119497</td>
                                                <td>20182</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1109.827820357506</td>
                                                <td>19648</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1108.7518128653994</td>
                                                <td>19069</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1104.8377608088433</td>
                                                <td>20056</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1128.558925910902</td>
                                                <td>19846</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1132.8994491901292</td>
                                                <td>18883</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1107.87452030631</td>
                                                <td>20874</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1117.4577445688365</td>
                                                <td>19766</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1108.7022171808353</td>
                                                <td>19363</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1113.451618711799</td>
                                                <td>16280</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1107.3679870774697</td>
                                                <td>15438</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1116.015156369327</td>
                                                <td>15590</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1134.9828538797467</td>
                                                <td>14638</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1091.6519638564162</td>
                                                <td>15095</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1121.7455124572812</td>
                                                <td>15416</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1080.4394860676177</td>
                                                <td>15806</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1094.4772992642936</td>
                                                <td>15340</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1110.1098254065041</td>
                                                <td>14529</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1116.7557429833118</td>
                                                <td>15200</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1062.9637079755262</td>
                                                <td>8473</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1087.2369305803682</td>
                                                <td>8020</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1059.428443102481</td>
                                                <td>7840</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1086.0519664876858</td>
                                                <td>7828</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1064.4716505578754</td>
                                                <td>8487</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1066.825164842575</td>
                                                <td>8156</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1051.7914093621325</td>
                                                <td>8284</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1046.2174552330362</td>
                                                <td>7693</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1072.6342531263322</td>
                                                <td>9153</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1069.453343183771</td>
                                                <td>8891</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1039.407829563938</td>
                                                <td>14230</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1063.6955738158415</td>
                                                <td>11361</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1078.89948714375</td>
                                                <td>10600</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1080.3880592958042</td>
                                                <td>11610</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1087.7334527970868</td>
                                                <td>11189</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1047.1058286610837</td>
                                                <td>11919</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1079.552139584108</td>
                                                <td>11316</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1064.452553502144</td>
                                                <td>11121</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1079.9026166763856</td>
                                                <td>10009</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>1089.5858705151575</td>
                                                <td>10812</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1138.0215788379637</td>
                                                <td>24918</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1122.7935835961139</td>
                                                <td>22073</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1085.9314437868989</td>
                                                <td>23044</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1102.0979944734024</td>
                                                <td>22962</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1129.4182599756994</td>
                                                <td>24529</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1107.4825402980152</td>
                                                <td>24808</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1119.2970682872951</td>
                                                <td>24120</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1136.8089833119307</td>
                                                <td>24803</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1109.1707221959277</td>
                                                <td>23440</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
                                                    <td>1111.0931475700197</td>
                                                <td>24277</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1090.8418963644356</td>
                                                <td>11144</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1108.619876623688</td>
                                                <td>9762</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1077.299211032423</td>
                                                <td>11079</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1083.6690718968364</td>
                                                <td>10788</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1080.0705277548336</td>
                                                <td>11543</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1082.6923379804919</td>
                                                <td>11040</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1074.6343801395299</td>
                                                <td>10645</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1094.6260563890148</td>
                                                <td>11160</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1024.0143640575309</td>
                                                <td>10636</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1079.2976457555576</td>
                                                <td>10688</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1114.6775376925025</td>
                                                <td>24196</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1126.8296631506523</td>
                                                <td>22852</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1113.7530433298452</td>
                                                <td>24347</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1120.301431013619</td>
                                                <td>23443</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1138.7439709964988</td>
                                                <td>24022</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1109.7808025493637</td>
                                                <td>25006</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1126.9358528715563</td>
                                                <td>25371</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1123.5016823386454</td>
                                                <td>24136</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1127.1507971096567</td>
                                                <td>23940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1120.2733937621288</td>
                                                <td>24049</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1107.3321787877428</td>
                                                <td>10799</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1098.4837625777159</td>
                                                <td>9715</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1113.0757365316006</td>
                                                <td>11423</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1115.7586294680737</td>
                                                <td>11379</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1066.4093619345952</td>
                                                <td>10634</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1092.9265170462652</td>
                                                <td>10670</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1085.3166467439985</td>
                                                <td>10925</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1071.13338363343</td>
                                                <td>10760</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1066.2432846488146</td>
                                                <td>10182</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>1084.2318270431042</td>
                                                <td>10940</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1117.510514963255</td>
                                                <td>23685</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1127.707864519834</td>
                                                <td>23745</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1129.7063852409865</td>
                                                <td>24900</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1125.0057076907656</td>
                                                <td>24559</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1151.1189780825318</td>
                                                <td>24651</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1133.7453673060706</td>
                                                <td>26085</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1129.68741287703</td>
                                                <td>23443</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1150.1492939942452</td>
                                                <td>24743</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1139.7346227637963</td>
                                                <td>24198</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>8.0E8</td>
                                                    <td>1146.5648362565282</td>
                                                <td>24116</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1112.5023977464498</td>
                                                        <td>20501.1</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>12.667492759072642</td>
                                                        <td>654.9548669777009</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1103.4406193199136</td>
                                                        <td>20032.573512808394</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1121.564176172986</td>
                                                        <td>20969.626487191603</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1132.3945981533516</td>
                                                        <td>20066.3</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>9.323711461093339</td>
                                                        <td>548.9029564099244</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1125.7248167703806</td>
                                                        <td>19673.63847942444</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1139.0643795363226</td>
                                                        <td>20458.961520575558</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1099.3683585948895</td>
                                                        <td>15791.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>11.468188826430485</td>
                                                        <td>683.8166177175476</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1091.1645105189268</td>
                                                        <td>15302.327060098243</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1107.5722066708522</td>
                                                        <td>16280.672939901757</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1054.8424513052867</td>
                                                        <td>8429.599999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>15.390381253904062</td>
                                                        <td>390.30051100259766</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1043.8328357897847</td>
                                                        <td>8150.395834050407</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1065.8520668207887</td>
                                                        <td>8708.80416594959</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1106.7023439128257</td>
                                                        <td>15418.199999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>16.056284199600064</td>
                                                        <td>443.14000797340196</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1095.216370126414</td>
                                                        <td>15101.196734984325</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1118.1883176992374</td>
                                                        <td>15735.203265015673</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1044.249002549307</td>
                                                        <td>8208.9</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>27.254297320718173</td>
                                                        <td>213.16266610788648</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1024.7524527435532</td>
                                                        <td>8056.412614704602</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1063.745552355061</td>
                                                        <td>8361.387385295397</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1113.4673528584685</td>
                                                        <td>19815.499999999996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>9.914067103565392</td>
                                                        <td>614.758534349508</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1106.3752564896763</td>
                                                        <td>19375.728236948664</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1120.5594492272608</td>
                                                        <td>20255.27176305133</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1108.6997446073767</td>
                                                        <td>15333.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>15.976710331616859</td>
                                                        <td>517.2924812048898</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1097.2706945369616</td>
                                                        <td>14963.151251163377</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1120.1287946777918</td>
                                                        <td>15703.248748836624</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1066.7074324451785</td>
                                                        <td>8282.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>13.134674936823602</td>
                                                        <td>476.20612950462726</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1057.3114520214417</td>
                                                        <td>7941.842656593299</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1076.1034128689153</td>
                                                        <td>8623.157343406701</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1071.07234115553</td>
                                                        <td>11416.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>16.975617406137435</td>
                                                        <td>1124.037173169405</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1058.9287160109336</td>
                                                        <td>10612.61224560551</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1083.2159663001264</td>
                                                        <td>12220.78775439449</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1116.2115322333268</td>
                                                        <td>23897.4</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>16.313718107950777</td>
                                                        <td>967.4943812641897</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1104.5414013227453</td>
                                                        <td>23205.296212874837</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1127.8816631439083</td>
                                                        <td>24589.503787125166</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1079.576536799434</td>
                                                        <td>10848.500000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>21.960714891358958</td>
                                                        <td>477.60472964343427</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1063.8667877418475</td>
                                                        <td>10506.842158325313</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1095.2862858570206</td>
                                                        <td>11190.15784167469</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1122.1948174814468</td>
                                                        <td>24136.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>8.388225327168813</td>
                                                        <td>708.5299021369684</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1116.1942425648185</td>
                                                        <td>23629.348241419593</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1128.195392398075</td>
                                                        <td>24643.05175858041</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1090.091132841534</td>
                                                        <td>10742.699999999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>18.585870578190974</td>
                                                        <td>508.9169436711217</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1076.795601969948</td>
                                                        <td>10378.642749779372</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1103.3866637131202</td>
                                                        <td>11106.757250220626</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1135.0930983695043</td>
                                                        <td>24412.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>11.363495295940066</td>
                                                        <td>765.2996871233591</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1126.9641435335884</td>
                                                        <td>23865.037583679106</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1143.2220532054203</td>
                                                        <td>24959.962416320894</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.02813237427168333</td>
                                                                            <td>0.34625536390908385</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.02813237427168333</td>
                                                                            <td>1.0</td>
                                                                            <td>0.2633114515546142</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.34625536390908385</td>
                                                                            <td>0.2633114515546142</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.15258920974728885</td>
                                                                            <td>0.25673375269850895</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.15258920974728885</td>
                                                                            <td>1.0</td>
                                                                            <td>0.7835332490008096</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.25673375269850895</td>
                                                                            <td>0.7835332490008096</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 6.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>3.499089270762063E-4</td>
                                                                            <td>0.8517898266514233</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>3.499089270762063E-4</td>
                                                                            <td>1.0</td>
                                                                            <td>9.745321835202252E-4</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.8517898266514233</td>
                                                                            <td>9.745321835202252E-4</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.008390651381262354</td>
                                                                            <td>0.32052507494139626</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.008390651381262354</td>
                                                                            <td>1.0</td>
                                                                            <td>0.010426842630439415</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.32052507494139626</td>
                                                                            <td>0.010426842630439415</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.08054974855116867</td>
                                                                            <td>0.30233414036093675</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.08054974855116867</td>
                                                                            <td>1.0</td>
                                                                            <td>0.03544056516399278</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.30233414036093675</td>
                                                                            <td>0.03544056516399278</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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